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| Section | Weight | Objectives |
|---|---|---|
| Governance, Security, and Administration | 25% | - Content Lifecycle Management
|
| Visualization and Reporting | 20% | - Dashboards and Workbooks
|
| Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
| Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
|
| Data Modeling and Semantic Design | 30% | - Semantic Model Design
|
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質問 # 77
A developer needs to design a highly formatted Microsoft Word-based report template containing company branding, repeating groups, and conditional formatting. Which tool should be used?
正解：B
解説：
Template Builder for Word is specifically designed for developing sophisticated Oracle Analytics Publisher RTF templates within Microsoft Word . It is installed as a Word add-in and simplifies insertion of Publisher data fields, tables, repeating groups, charts, forms, processing instructions, and other report components.
RTF templates retain access to Microsoft Word's native document-formatting features. This makes them particularly appropriate for reports requiring corporate branding, precisely positioned text, headers and footers, images, complex tables, and other print-oriented formatting. Publisher's RTF processing capabilities additionally support conditional formatting, grouping, dynamic columns, calculations, and other advanced report logic.
Oracle's official documentation identifies Template Builder as an add-in that automates insertion of frequently used Publisher components and provides tools to preview output using sample XML data. The underlying RTF format also supports more complex Publisher processing instructions where required.
Dashboard Builder creates analytical dashboards rather than Word-based templates. SQL Developer is a database-development tool. Catalog editing doesn't provide Word document formatting.
Therefore, Template Builder for Word is the correct tool for this highly formatted RTF reporting requirement.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - Template Builder for Word
質問 # 78
A report should exclude products with zero sales before any ranking or sorting occurs. Which Oracle Analytics feature should be used?
正解：B
解説：
Among the provided choices, Selection Step is the intended answer. Selection steps allow an analysis author to refine which attribute or hierarchy members remain visible and can be arranged in a defined sequence.
They support operations such as keeping or removing members and applying condition-based member selection, including conditions based on measures such as Sales.
Oracle distinguishes selection steps from conventional filters. A normal column filter is applied before query aggregation , while selection steps operate after aggregation and affect the members displayed without changing already-calculated aggregate values. Selection steps can also be sequenced so that one refinement occurs before a later Top N or other member-selection operation.
There is a wording weakness in this item. If "before any ranking" means before query aggregation and ranking at the SQL level, a conventional analysis filter such as Sales < > 0 would be the cleaner technical mechanism, but Filter isn't one of the answer choices . Of the listed options, Selection Step is the only feature capable of removing members as part of analytical result refinement.
Dashboard Prompts provide runtime input; Conditional Formatting only changes appearance; Narrative View controls presentation.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Selection Steps
質問 # 79
A development team has completed new dashboards and BI Publisher reports. Before deploying them to production, they need a repeatable migration process that preserves dependencies and configuration. Which approach is recommended?
正解：C
解説：
Oracle Analytics Cloud uses snapshots , which can be exported as BAR files , to provide a controlled and repeatable mechanism for migrating analytics content between environments. A snapshot can package supported service content and configuration, including catalog objects such as dashboards and analyses, Publisher artifacts, semantic-model content, application-role information, and other applicable configuration.
Oracle's documented migration workflow is to create a snapshot in the source environment, export the snapshot as a .bar file, import that BAR file into the target Oracle Analytics Cloud instance, and then restore the required components. The Custom restore option allows administrators to select which elements are transferred when the target environment contains configuration that must remain unchanged.
Manual catalog copying does not provide the same dependable migration of dependencies and service configuration. Recreating dashboards in production is inefficient and prone to configuration drift. PDF files are generated outputs and cannot recreate Analytics or Publisher objects.
Therefore, the repeatable Oracle-supported deployment mechanism represented in the choices is exporting and importing a snapshot using a BAR file .
Reference Topic: Connecting to Data Sources and Migrating Artifacts - Snapshots and BAR Migration
質問 # 80
A report author needs a layout component that provides multidimensional data in tabular form. The component must support multiple measures and dimensions at all levels. Which layout component should the author insert?
正解：D
解説：
A Pivot Table is the correct layout component because Oracle Analytics Publisher specifically defines it as a mechanism for presenting multidimensional information in tabular form. A pivot table can organize dimensions across rows and columns while simultaneously displaying multiple measures in the data region. It also supports subtotals at multiple hierarchy levels, making it appropriate for analytical reports where users need to compare measures across several dimensional intersections.
A Layout Grid is primarily a structural container used to position report components; it does not itself perform multidimensional analysis. A Gauge visualizes a measure relative to a scale or threshold and is unsuitable for displaying multiple dimensions in tabular form. Text Items provide static or dynamically generated textual information, while Lists are designed for repeated structured content rather than multidimensional cross- tabulation.
Oracle's Publisher documentation explicitly describes the Pivot Table as providing multidimensional data in tabular form and supporting multiple measures, dimensions, and subtotals at all levels. This directly matches every requirement in the scenario.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - Pivot Tables and Layout Components
質問 # 81
During dashboard execution, a user selects a fiscal year from a prompt, and multiple analyses immediately refresh using that value. Which variable type is typically used to support this behavior?
正解：B
解説：
A Presentation Variable is the variable type specifically designed to capture a value selected by a user through a dashboard prompt and make that value available dynamically to analyses and other dashboard content.
Oracle states that a presentation variable can be created as part of either a column prompt or a variable prompt . Whenever the user selects one or more values in the associated prompt, Oracle sets the presentation variable to the selected value or values. Analyses can then reference that variable in filters, column formulas, titles, narrative text, or other supported expressions.
In this scenario, selecting Fiscal Year at runtime establishes a user-controlled value that multiple analyses can consume. Because the value changes interactively as the user changes the prompt selection, Presentation Variable is the appropriate variable scope.
A Repository Variable is centrally managed and isn't normally populated from a user's dashboard selection.
Session variables generally hold user-specific or system values initialized for a login session. Initialization blocks are mechanisms used to populate certain server/session variables rather than the runtime dashboard variable required here.
Therefore, Presentation Variable precisely matches the described prompt-driven dashboard behavior.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Presentation Variables
質問 # 82
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